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    The Construction of Student-Centered, Harmonious Teacher-Student Relationships Driven by Educator Spirit
    XU Jinfen
    Contemporary Foreign Languages Studies    2024, 24 (4): 5-15.   DOI: 10.3969/j.issn.1674-8921.2024.04.001
    Abstract534)   HTML18)    PDF(pc) (1217KB)(5093)       Save

    Under the guidance of spirits of educators, this article firstly explores the contemporary significance and theoretical basis for the construction of harmonious teacher-student relationships. Then, based on the 14 student-centered principles proposed by the American Psychological Association and the semi-structured interview results with university teachers and students from different regions in China, six major characteristics of student-centered harmonious teacher-student relationships are extracted. Finally, guided by these characteristics, specific strategies for building student-centered harmonious relationships between foreign language teachers and students are proposed from five aspects: educational philosophy, teaching methods, learning environment, emotional support, and evaluation system. This article aims to provide references for foreign language teachers from both theoretical and practical perspectives and further promote the healthy development of foreign language education.

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    Trends in global major disease burden and health conditions—interpretation of the Global Burden of Disease Study 1990-2021
    FAN Bonan, LI Yan
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 474-483.   DOI: 10.16150/j.1671-2870.2024.05.003
    Abstract2055)   HTML64)    PDF(pc) (3009KB)(4814)       Save

    The Global Burden of Disease Study 2021 (GBD 2021) analyzed 371 diseases and injuries using 100,983 data sources, estimating years lived with disability, years of life lost, disability-adjusted life years, and healthy life expectancy. From 1990 to 2019, the annual rate of change in global all-cause mortality ranged from -0.9% to 2.4%, while deaths increased by 10.8% and 7.5% in 2020 and 2021 respectively due to COVID-19. In 2021, COVID-19 was the second lea-ding cause of death globally, with a mortality rate of 94.0 per 100 000. The mortality rates of other major causes, such as ischemic heart disease and stroke were 108.7 and 87.4 per 100 000, respectively. Global life expectancy rose from 65.5 years in 1990 to 73.3 years in 2019 but dropped to 71.7 years in 2021 due to COVID-19, which reduced life expectancy by 2.2 years, significantly impacting the trend of health improvement. In China, GBD 2021 data shows a significant increase in life expectancy from 1990 to 2021: from 69.9 to 80.7 years for women and from 65.7 to 74.9 years for men. However, non-communicable diseases such as cardiovascular diseases, cancers, and chronic respiratory diseases remain major health threats. In 2021, these diseases had the highest burden among the top ten causes in China, with rising incidence and morta-lity rates. Major health risk factors in China include tobacco, hypertension, and dietary risks. This paper, through the systematic analysis of GBD 2021 data, reveals current trends in disease burden globally and in China, and proposes public health strategy recommendations. China should enhance chronic disease management, improve public health emergency responses, address health inequalities, and promote basic research and international cooperation to improve overall health levels.

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    The Enlightenment for the Development of Anti-UAV Equipment from the Offensive and Defensive Operations of UAVs Between Russian and Ukrainian
    ZHANG Yaoyi, LI Ning
    Air & Space Defense    2024, 7 (3): 34-39.  
    Abstract1053)      PDF(pc) (924KB)(4130)       Save
    According to the offensive and defensive operations of UAVs (Unmanned Aerial Vehicles) in the conflict between Russia and Ukraine, the methods of countering new air threats represented by UAVs in the future were studied. By reviewing the overall situation of the UAVs employed by Russia and Ukraine, the methods of using various UAVs to build an integrated reconnaissance and offensive system on both sides were summarized. From the perspective of responding to the UAV threat, this paper elaborated on the overall overview of the anti-UAV equipment employed by both sides and summarized the methods of building an integrated anti-UAV system using various soft and hard killing methods. According to the practical experience of warfare, considering the development of strong hostile UAVs and anti-UAV equipment such as the US military, enlightenment and suggestions for the future development of anti-UAV equipment were proposed.
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    A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM
    ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun
    Journal of Shanghai Jiao Tong University    2025, 59 (6): 746-757.   DOI: 10.16183/j.cnki.jsjtu.2023.382
    Abstract2089)   HTML3)    PDF(pc) (6089KB)(3093)       Save

    The electric power industry plays a pivotal role in carbon emission control. Accurate and real-time accounting of carbon emissions in the power industry is essential for supporting the carbon reduction of the power industry. At present, the measurement of carbon emissions in the power industry relies mainly on direct measurement or the accounting methods, which often struggles to balance low measurement costs with real-time accuracy. Therefore, in this paper, the robust power data infrastructure in the power industry is leveraged and the correlation between electricity consumption and carbon emissions is explored to propose a short-term electricity-to-carbon method using machine learning methods based on historical data of electricity. This method utilizes convolutional neural networks (CNNs) for feature extraction, and light gradient boosting machine (LightGBM) for carbon emission estimation based on extracted features. Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. The results indicate that the proposed model outperforms other models in both performance evaluation and the consistency between estimated and target values.

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    Research on the Current Status and Development of Foreign Patrol Air Defense Weapons
    MEI Zhiwei, YU Huimin, LIU Xiaolei, ZHANG Zilun, LING Li
    Air & Space Defense    2024, 7 (3): 40-45.  
    Abstract445)      PDF(pc) (7899KB)(2326)       Save
    The traditional cruise missiles have been typically used to carry out ground and sea combat missions. In recent years, under the continuous promotion of military requirements and technology, the application of cruise missiles in air defense operations has developed rapidly. Since the United States dominates the military power, it has launched a series of demonstration and verification projects using cruise air defense weapons, and a few of them have achieved operational combat capabilities, which could become an important part of the future air defense equipment system and profoundly change the future combat style. This paper has comprehensively analyzed the current development status of foreign cruise air defense weapons and sorted out the key technologies that need to be resolved. It then proposed the future development directions for patrol air defense weapons.
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    Corpus Assisted Approach to Discourse Analysis of Textbooks: A Case Study of College English Textbooks
    PAN Chengjun
    Contemporary Foreign Languages Studies    2024, 24 (4): 83-94.   DOI: 10.3969/j.issn.1674-8921.2024.04.008
    Abstract356)   HTML12)    PDF(pc) (1525KB)(2056)       Save

    This paper adopts the methods of combining critical discourse analysis with corpus linguistics, quantitative and qualitative comparison between local textbooks and global textbooks, discusses cultural representation in College English textbooks, and analyzes its impact on cultural representation from the perspective of register type and language characteristics, so as to clarify the differences in structural features and social attributes of language textbooks under different social and cultural backgrounds and guiding ideology. The results show that the local materials reflect the relational thinking of Chinese philosophical thought in terms of subject matter and help to construct foreign language learners’ identities by bringing them closer to learners through dialogical genres and micro-level linguistic features, thereby recontextualizing the language materials in the local materials. On the other hand, local textbooks can be further expanded in terms of subject matter, knowledge, and international perspectives, and they also need to work on how to build China’s image and tell China’s story at the level of national consciousness. This study has implications for the writing, evaluation, and adaptation of foreign language textbooks in the new era.

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    A Comparative Study of Translator Styles in the English Translations of The Three-Body Trilogy from the Perspective of Transknowletology
    JIN Shengxi, LI Haoyu
    Contemporary Foreign Languages Studies    2024, 24 (4): 145-157.   DOI: 10.3969/j.issn.1674-8921.2024.04.013
    Abstract496)   HTML10)    PDF(pc) (1350KB)(2042)       Save

    From the perspective of Transknowletology, the paper conducts a comparative analysis of the translator styles exhibited by Ken Liu and Joel Martinsen in the process of globalizing and reconstructing local Chinese science fiction knowledge. The study constructs a self-built corpus of the English translations ofThe Three-Body Problem and The Dark Forest and employs Multidimensional Analysis method combined with text close reading. It is found that both translators adhere to the general organizational form of knowledge typical to science fiction literature, yet significant differences exist in terms of narrative concerns and informational elaboration in the two translations. The fundamental cause of these stylistic differences lies in their distinct translation philosophies: Ken Liu leans towards “cross-linguistic modulation and intercultural dialogue in knowledge translation”, while Joel Martinsen is more inclined towards “translation as an intermediary for knowledge world-sharing”.

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    Research Progress of Resin Matrix Composites for Air Defense Missiles
    CHEN Xue, ZHU Longyu, XUE Qinyang, WANG Kexiang, HAN Zhilin, LUO Chuyang
    Air & Space Defense    2024, 7 (6): 76-95.  
    Abstract1579)      PDF(pc) (3146KB)(2036)       Save
    Lightweight design is a dominant development trend in advanced air defense missile systems. Resin matrix composites, with the advantages of being lightweight, high strength, high-temperature resistant, corrosion-resistant, and designable, play a key role in promoting the lightweight design of missiles. This paper has reviewed the research progress and current applications of thermoset and thermoplastic composites in air defense missiles. It comprehensively provides an overview of the application progress and development prospects of resin matrix composites in typical missile components, offering insights into the future development of these materials.
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    Application and research prospects of artificial intelligence in breast cancer pathological diagnosis
    DA Qian, RUAN Miao, FEI Xiaochun, WANG Chaofu
    Journal of Surgery Concepts & Practice    2024, 29 (05): 389-395.   DOI: 10.16139/j.1007-9610.2024.05.04
    Abstract623)   HTML45)    PDF(pc) (1217KB)(1928)       Save

    Breast cancer is one of the most common cancers affecting women globally. With the advent of digital pathology slide scanners and the continuous evolution of deep learning algorithms, there has been a significant advancement in the application of artificial intelligence (AI) in the diagnosis and treatment of breast cancer. This article provided an overview of the current research and application status of AI in breast cancer pathological diagnosis, and summarized the challenges encountered as well as future directions in this field.

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    New Perspective on Translation Quality Assessment in Translation Teaching: An Industry Assessment Model
    CHENG Shuang, ZHANG Yushuang
    Contemporary Foreign Languages Studies    2024, 24 (5): 45-56.   DOI: 10.3969/j.issn.1674-8921.2024.05.005
    Abstract225)   HTML4)    PDF(pc) (1540KB)(1901)       Save
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    Online Steady-State Scheduling of New Power Systems Based on Hierarchical Reinforcement Learning
    ZHAO Yingying, QIU Yue, ZHU Tianchen, LI Fan, SU Yun, TAI Zhenying, SUN Qingyun, FAN Hang
    Journal of Shanghai Jiao Tong University    2025, 59 (3): 400-412.   DOI: 10.16183/j.cnki.jsjtu.2023.344
    Abstract1583)   HTML5)    PDF(pc) (4192KB)(1854)       Save

    With the construction of new power systems, the stochasticity of high-proportion renewable energy significantly increases the uncertainty in the operation of the power grid, posing severe challenges to its safe, stable, and economically efficient operation. Data-driven artificial intelligence methods, such as deep reinforcement learning, are becoming increasingly important for regulating and assisting decision-making in the power grid in the new power system. However, current online scheduling algorithms based on deep reinforcement learning still face challenges in modeling the high-dimensional decision space and optimizing scheduling strategies, resulting in low model search efficiency and slow convergence. Therefore, a novel online steady-state scheduling method is proposed for the new power system based on hierarchical reinforcement learning, which reduces the decision space by adaptively selecting key nodes for adjustment. In addition, a state context-aware module based on gated recurrent units is introduced to model the high-dimensional environmental state, and a model with the optimization objectives of comprehensive operating costs, energy consumption, and over-limit conditions is constructed considering various operational constraints. The effectiveness of the proposed algorithm is thoroughly validated through experiments on three standard test cases, including IEEE-118, L2RPN-WCCI-2022, and SG-126.

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    Cascade Sliding Mode Decoupling Control of Coupled Inductor Single-Input Dual-Output Buck Converter Based on Super-Twisting Extend State Observer
    HUANG JinFeng, ZHANG Qian
    Journal of Shanghai Jiao Tong University    2025, 59 (5): 592-604.   DOI: 10.16183/j.cnki.jsjtu.2023.349
    Abstract1411)   HTML2)    PDF(pc) (4220KB)(1778)       Save

    To address the coupling effect between the output branches of the coupled inductor single-input dual-output (CI-SIDO) Buck converter, which leads to the cross-influence and thus affects the dynamic performance of the system, a cascaded sliding mode decoupling control strategy based on the super-twisting extend state observer (ST-ESO) is proposed. First, a state-space averaging model of the CI-SIDO Buck converter is established. Then, the coupling terms, internal perturbations, and unmodeled parts in the inner and outer loops of the converter are estimated by using the ST-ESO with a fast-convergence property, which are regarded as the total perturbations in the inner and outer loops. Next, the total perturbation in the inner and outer loops is compensated by using a super-twisting sliding mode controller to achieve the decoupling of the system and ensure the robustness of the system and the stability of the output voltage. Furthermore, the stability of the super-twisting extend state observer and super-twisting sliding mode controller is analyzed using the Lyapunov theory, providing theoretical verification of the feasibility of the control strategy. Finally, the proposed control strategy is experimentally validated on the experimental platform. The results show that the proposed control strategy realizes the decoupling of the system, suppresses the cross-influence and improves the dynamic performance of the system.

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    Concept of Future Intelligent Kill Web
    RUAN Kaizhi, SUN Xuean, TONG Yun , LIANG Shuo, XU Tianyang
    Air & Space Defense    2024, 7 (3): 27-33.  
    Abstract827)      PDF(pc) (2786KB)(1741)       Save
    The battlefield among great power wars drives the direction of high dynamic and high intensity. A single weapon system or its kill chain is difficult to adapt to future wars. As a new operational concept with high dynamics and high flexibility, the kill web has high self-adaptability, high organization and toughness. Through the extremely fast response speed, the commander can complete the combat groupings and the command control, which significantly enhances the decision-making efficiency. Firstly, this paper conducted research aiming at the combat concept of the kill web. Then, it discussed and analyzed the background of the kill chain, the transition from chain to web, basic concepts, typical cases and key technologies. Finally, utilizing intelligent technology, the paper summarized the concept of a future intelligent kill web.
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    Review of Multi-Sensor Data Fusion for Target Tracking
    TANG Shengjing, WANG Taiyan, ZHAO Ganglian, GUO Jie, LI Jiali, YIN Hang(
    Air & Space Defense    2024, 7 (4): 18-29.  
    Abstract861)      PDF(pc) (1875KB)(1739)       Save
    With the increasing complexity of target-tracking scenarios, single-sensor detection systems cannot satisfy the practical requirements of target tracking. Multi-sensor data fusion technology has thus become an important solution for target tracking in complex scenarios. This paper reviewed the basic principles and research status of two key processes in multi-sensor data fusion: data association and estimating fusion. The relevant research on applying artificial intelligence technologies such as neural networks and reinforcement learning in multi-sensor data fusion was introduced. Finally, the development of multi-sensordata fusion methods in the field of target tracking was prospected.
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    Progress in research methods of studying the neural crest

    JIANG Leheng, YIN Ningbei
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (4): 469-.  
    Abstract593)      PDF(pc) (993KB)(1706)       Save
    The neural crest is a migratory, multipotent stem cell population during vertebrate embryogenesis, and lineage tracing is the focus of its research. Over the 150 years since its first discovery, understanding of the neural crest has gone through a transition from morphological observations to single-cell level. In this paper, important approaches applied to study the neural crest were reviewed including radioisotope labeling, chimeras, vital dye labeling, in vitro clonal analysis, conditional genetic recombination and single-cell sequencing.
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    Future Challenges, Current Status, and Development Direction of Anti-Radiation Missiles
    Future Challenges, Current Status, and Development Direction of Anti-Radiation Missiles
    Air & Space Defense    2024, 7 (4): 38-46.  
    Abstract347)      PDF(pc) (8057KB)(1635)       Save
    Currently, the integrated air defense system has been well developed, and is forming a multi-domain network. The suppression of enemy air defense (SEAD) missions in the future will face more complex electromagnetic environments, radar equipment with upgraded capabilities, and various countermeasures. Under this background, this paper summarized the latest development status of major foreign anti-radiation missiles and analyzed the tactical evolution trend of anti-radiation missiles in performing SEAD missions. Based on the above studies, the future development directions of the anti-radiation missile including systematization, intelligent, multi-mission, low-cost, multi-mode composite guidance were prospected, giving useful reference for strengthening the construction of anti-radiation missile equipment and improving the SEAD combat capability.
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    Research on Development and Combat System of Air Defense Suppression Equipment
    XIONG Jian, ZHANG Shunjia, WANG Shichao, KANG Zhenliang, ZHENG Xinyi
    Air & Space Defense    2024, 7 (4): 73-80.  
    Abstract344)      PDF(pc) (2837KB)(1625)       Save
    The modern air battlefield environment is increasingly showing high complexity and high confrontation, and the importance of air defense suppression operations in air control cannot be overstated. Firstly, this paper has reviewed the composition of equipment in U.S. and Russian advanced air defense systems. Based on the Observe-Orient-Decide-Act ring theory, the US military air defense suppression is decomposed and analyzed. Then, the advanced air defense suppression weapons such as anti-radiation missiles, anti-radiation UAVs and electronic warfare aircraft were elaborated. The typical combat styles and tactics were summarized by referring to the combat cases of air defense suppression in modern wars. Finally, focusing on the technical difficulties faced by air defense suppression weapons and the development trends of combat strategies, development suggestions were proposed in the aspects of weapon platform development, collaborative networking technology, and systematic operations. This study presents significant reference in the construction of China’s air defense suppression combat system.
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    Development Status and Trend of Countermeasure Technology of Airborne Active Protection System
    BI Peng, CHEN Yongpeng, ZHU Wensheng, ZHANG Chaofei, YUAN Dazhong, LYU Ruiheng
    Air & Space Defense    2024, 7 (4): 67-72.  
    Abstract263)      PDF(pc) (4097KB)(1587)       Save
    In the current battlefield, the establishment of the airborne terminal active protection system is a practical way to improve the survivability of military aircraft. Acting as the final action link of the strike chain, the damage unit’s effectiveness dominates the operation efficiency of the active protection system. Considering the antagonistic principle of the airborne active protection system, this paper reviewed the development status of the airborne active protection system, proposed a general design concept of building the integrated active protection system with soft and hard cooperation, and offered ideas and suggestions for developing active protection system countermeasure technology from the perspective of soft and hard damages.
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    Conspiracy of Narrative and Theory: The Implicit Non-narrative Process in Nabokov’s Novels
    ZHANG Qiong
    Contemporary Foreign Languages Studies    2024, 24 (6): 147-157.   DOI: 10.3969/j.issn.1674-8921.2024.06.013
    Abstract160)   HTML1)    PDF(pc) (1615KB)(1581)       Save

    In his novels, Nabokov employs variations, alternative texts, symbols and metaphors to stimulate diverse thinking. By intertextuality and parodying classics, he breaks through the enclosed semantic field, with hidden narrative, discourse and plots constructing compound meanings. In parallel with the plot and resonate with each other. They differ from the explicit juxtaposed clues, fragmented subtexts, and the“implied author”affecting readers. Instead, it is more appropriate to refer them as “processes.” In narrative interspersed with commentary, the narration and commentary are independent and corresponding to each other only in fragments. However, Nabokov’s implicit non-narrative processes are embedded within the plot, latent in the form of story props, structural elements, line content, voiceovers, developing with the narrative and jointly contributing to the achievement of the creative theme.

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    Modeling of Multi-Modal Knowledge Graph for Assembly Process of Wind Turbines with Multi-Source Heterogeneous Data
    HU Zhiqiang, LIU Mingfei, LI Qi, LI Xinyu, BAO Jinsong
    Journal of Shanghai Jiao Tong University    2024, 58 (8): 1249-1263.   DOI: 10.16183/j.cnki.jsjtu.2023.062
    Abstract771)   HTML23)    PDF(pc) (11842KB)(1569)       Save

    The assembly process information of wind turbines is usually scattered in process documents consisting of multi-modal information, such as 3D models, natural texts, and images. Therefore, the cost of maintaining data and extracting process knowledge is high while the efficiency is low. To solve this problem, a multi-modal knowledge graph-based modeling method for the assembly process knowledge of wind turbines is proposed with multi-source heterogeneous data. First, the concepts in multi-modal process knowledge graph of wind turbine (MPKG-WT) are defined by analyzing the process characteristics of wind turbines to complete the construction of ontology. Then, based on the characteristics of multi-source heterogeneous data and multi-modal information, data analysis, knowledge extraction, and semantic similarity calculation are leveraged to realize the automatic instantiation of the graph. Finally, taking the process data of a wind turbine enterprise as an example, MPKG-WT is constructed and verified by implementing an auxiliary system for process design. The results show that MPKG-WT is more informative than the single-modal graph, and the data in different modals can complement each other, which leads to significant improvements in the efficiency of process design.

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    Therapeutic effect of theta burst transcranial magnetic stimulation combined with speech training on aphasia after stroke
    ZENG Zhen, LU Chunhua, WANG Kai, ZHANG Qin
    Journal of Internal Medicine Concepts & Practice    2024, 19 (04): 231-235.   DOI: 10.16138/j.1673-6087.2024.04.03
    Abstract228)   HTML2)    PDF(pc) (3195KB)(1538)       Save

    Objective Analyzing the clinical treatment efficacy of continuous theta burst stimulation (cTBS), theta burst stimulation (TBS) combined with speech training on post stroke aphasia (PSA). Methods In this study, 90 PSA patients admitted to our hospital from February 2022 to January 2023 were divided into three groups according to different treatment methods, each 30 cases in each group. The basic group was given speech training, the observation group 1 was given cTBS combined speech training, and the observation group 2 was given iTBS combined speech training. The clinical efficacy, western aphasia battery (WAB) score, view naming test results, Boston diagnostic aphasia examination (BDAE) rating, stroke aphasia quality of life scale (SAQOL-39g) score were compared among the three groups. Results The total clinical effective rate (96.67%, 93.33%) in observation group 1 and observation group 2 were higher than that in basic group (60.00%) (P<0.05). After treatment, WAB score and correct number of view naming test in observation group 1 and observation group 2 were higher than those in basic group (P<0.05). The reaction time of view naming test in observation group 1 and observation group 2 were shorter than that in basic group (P<0.05). The improvement degree of BDAE grade in observation group 1 and observation group 2 after treatment were better than that in basic group (P<0.05). The SAQOL-39g score in observation group 1 and observation group 2 after treatment was higher than that in basic group (P<0.05). The total clinical response rate, WAB score after treatment, correct number of view naming tests, response time, improvement effect of BDAE classification, and SAQOL-39g score didn’t show significant difference between observation group 1 and group 2 (P>0.05). Conclusions Both cTBS and iTBS combined speech training can improve aphasia symptoms, view naming ability and quality of life in PSA patients. The clinical efficacy of them is comparable, and both are better than single speech training.

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    Reactive Power-Voltage Droop Gain Online Tuning Method of Photovoltaic Inverters for Improvement of Stable Output Power Capability in Weak Grids
    WANG Yuyang, ZHANG Chen, ZHANG Yu, WANG Yiming, XU Po, CAI Xu
    Journal of Shanghai Jiao Tong University    2025, 59 (6): 845-856.   DOI: 10.16183/j.cnki.jsjtu.2023.353
    Abstract1763)   HTML2)    PDF(pc) (7800KB)(1501)       Save

    The active power output capability and small signal stability in weak grids are key factors that limit stable photovoltaic (PV) power generation. To improve stably generating PV power in weak grids, an adaptive control method for PV inverters based on online tuning of the reactive power-voltage (Q-V) droop gain is proposed. First, to ensure active power output capability in weak grids, a “first optimization” method for the Q-V droop gain is proposed, considering voltage and current constraints. Then, to address stability constraints in weak grids, impedance modeling and stability analysis of the PV inverter system are conducted. A mapping relationship between the “parameter-weakest pole” is established with the weakest pole of the closed-loop system as a stability constraint based on the artificial neural network. A “second adjustment” method for the Q-V droop gain is developed at stably generating active power. Combined with the extended Kalman-filter-based grid impedance estimation, the proposed Q-V droop gain adaptive tuning method is realized. The effectiveness of the proposed adaptive control method is validated on the Modeling Tech real-time simulation platform.

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    The Impact of Artificial Intelligence on the Ecological Niche of Foreign Language Teaching from the Perspective of Foreign Language Pedagogy
    ZHUO Ling
    Contemporary Foreign Languages Studies    2024, 24 (5): 103-115.   DOI: 10.3969/j.issn.1674-8921.2024.05.010
    Abstract496)   HTML7)    PDF(pc) (1353KB)(1498)       Save

    With the rapid development of artificial intelligence (AI) technology, its application in foreign language education has become increasingly prevalent, thereby influencing the ecological niche of foreign language teaching. The study aims to explore the potential of artificial intelligence (AI) in improving language learning efficiency, personalized teaching and cross-cultural communication ability by analyzing the current application and outcomes of AI in language learning, so as to explore the application of AI technology in foreign language education and its impact on the ecological niche of foreign language teaching. Based on the survey data of 165 randomly selected non-English majors at a university, it shows that artificial intelligence technology can not only effectively improve the quality of teaching in foreign language education, but also reconstruct the ecological niche of foreign language teaching, improve teaching efficiency and learning effect, thereby fostering the intelligent development of the ecological niche for foreign language learners.

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    Diagnosis and treatment of vascular anomalies in the era of precision medicine
    YANG Xiaonan, ZHANG Ye
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (6): 599-.  
    Abstract141)      PDF(pc) (1038KB)(1474)       Save
    Vascular anomalies are classified into hemangiomas and vascular malformations, representing a group of diseases that include (but not limited to) more than 30 types of hemangiomas, over 60 types of vascular malformations, and more than 20 syndromes related to vascular anomalies. Deepening understanding and improving diagnosis and treatment have always been the focus and difficulty in clinical work. With the continuous advancement of medical science and technology, the diagnosis and treatment of vascular anomalies are rapidly entering a new medical era-the era of precision medicine. Precision medicine relies
    on in-depth research of molecular mechanisms, advanced diagnostic technologies, personalized treatment plans and multidisciplinary diagnosis and treatment mode, and its clinical expansion and promotion in clinical practice have brought revolutionary changes to the diagnosis and treatment of vascular anomalies. In this paper, the progress and future development
    direction of the diagnosis and treatment of vascular anomalies in the era of precision medicine were reviewed.
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    Interpretation of 2024 American Diabetes Association’s Standards of Care in Diabetes — diabetes diagnosis and classification
    LI Yanbing
    Journal of Diagnostics Concepts & Practice    2024, 23 (05): 467-473.   DOI: 10.16150/j.1671-2870.2024.05.002
    Abstract601)   HTML14)    PDF(pc) (932KB)(1397)       Save

    Diabetes is a common chronic disease, which has caused a significant health and economic burden worldwide. Diabetes is highly heterogeneous. Accurate diagnosis and classification are the premises to achieve standardized and accurate treatment of diabetes and improve the clinical outcomes of patients. Recently, the American Diabetes Association (ADA) issued the 2024 Standards of Medical Care in Diabetes. In the chapter on diabetes diagnosis and classification, the latest developments have been taken into account, with recommended approaches for the differential diagnosis of atypical diabetes, screening, diagnosis, and follow-up processes of different types of diabetes. This article interprets this section of the guidelines to provide a reference for healthcare professionals in the endocrine field in China for the accurate diagnosis, classification, and individualized treatment of diabetes.

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    On the Dialectics of Constructing the Theory of Transknowletology
    LIU Junping
    Contemporary Foreign Languages Studies    2025, 25 (1): 96-111.   DOI: 10.3969/j.issn.1674-8921.2025.01.010
    Abstract359)   HTML8)    PDF(pc) (1285KB)(1388)       Save

    Professor Yang Feng, the founder of Transknowletology, put forward the proposition that “The fusion of knowledge in science, sociology and humanities will solve the puzzle and problem of classification anxiety for the translation discipline for the time to come. Translatology armed with the knowledge of natural sciences, social sciences and humanities will inevitably become a meta discipline or supra subject”(Yang Feng 2021:2). Proceeding from the insightful statement, we can observe that Transknowletology intends to integrate the resources and refine its key concepts and reformulate its epistemic framework from the above three disciplines based on complex system to construct the meta-knowledge of translatology. Thus, Transknowletology as general translatology will necessarily touch upon the knowledge and ideas of translatology, philosophy, sociology, cognition, hermeneutics. Through analysis and synthesis, construction and refining, it will become a meta-discipline for translation studies embodying both the logical facts and ethic values.If it intends to reach such a goal, Transknowletology must include epistemic concepts, paradigms and epistemic reintegration and reclassification on its road map so as to reformulate its model. On the epistemic structure, it should proceed from the onotology, methodology and teleology of epistemology, attach importance to the dialectics of methodology, integrate East-West epistemology,reorganize the internal and external knowledge of translatology, give weight to humanistic, aesthetic and ethic knowledge. Thus formulated, it will depart from the binary separation of knowledge to the existential and life world experiences. Consequently, it will lessen the tensions between the scientific rationality and humanistic reason. Based on the “ method of harmonious balance of Transknowletology ” and the logic of dialogue, the newly formed branch of learning will perfect its methodology of restructuring its knowledge base and will eventually deal with the ultimate concern of “what is a translator” so as to actualize the “Epistemic Turn” in contemporary Translation Studies.

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    Overview of the Development of Flexible Ocean CTD Sensors
    LI Jihao1, LIN Guanying2, WANG Nuansheng3, LI Yang3, LI Junyang1
    Ocean Engineering Equipment and Technology    2024, 11 (3): 69-77.   DOI: 10.12087/oeet.2095-7297.2024.03.11
    Abstract394)      PDF(pc) (5779KB)(1387)       Save
    Marine hydrological information plays a significant role in development and exploration of marine resources. Temperature, salinity and depth are fundamental elements of marine hydrology. Monitoring of marine temperature, salinity and depth data plays an important role in the development and utilization of marine resources. The conductivity temperature depth profiler (CTD) is the main instrument for observing seawater temperature and salinity profiles. By using CTD sensors, parameters such as temperature and conductivity of seawater at different depths can be measured. In recent years, flexible electronic sensors have demonstrated great potential for application due to their excellent stretchability and easy attachment, which not only achieve the sensing performance of traditional rigid sensors to a certain extent, but also compensate for the shortcomings of traditional sensors such as large volume and weight. This review introduces the research progress of flexible ocean CTD sensors in recent years, mainly including the working mechanism and classification, common materials, manufacturing processes of flexible sensors, and analyzes the structure, performance, and application platform of existing flexible ocean CTD sensors. Finally, the development of flexible ocean CTD sensors is prospected.
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    Study on the Influence of Combustor Configuration on Combustion Characteristics of Solid Rocket Scramjet
    ZHAO Libei, XIA Zhixun, MA Likun, CHEN Binbin, FENG Yunchao, YANG Pengnian, LI Chaolong, LIU Yandong
    Air & Space Defense    2024, 7 (3): 54-63.  
    Abstract232)      PDF(pc) (3153KB)(1377)       Save
    To improve the combustion performance of solid rocket scramjet and understand the effect of combustor design parameters on combustion mode and performance, this study has analyzed the impact of the minimum geometric throat of combustor and the distance between the front edge of cavity and fuel injector port on the flow and gas-solid two-phase combustion characteristics in the combustor using numerical simulation. The results show that the minimum geometric throat of the combustor affects the position of the thermal throat by changing the degree of obstruction in the combustor. With the increasing distance between the front edge of the cavity and the fuel injector port, the resulting low-speed zone presents a stronger blocking effect on the air flow, thus increasing the retention time of the particulate phase fuel and improving the combustion efficiency. The combustion efficiency of particulate phase fuel is the key factor that dominates the overall combustion efficiency, and affects the improvement of the combustor performance and the modification of combustion mode.
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    The Inter-disciplinarity of International and Regional Studies: With Views on the Integration of Disciplines of Foreign Languages and World History
    LI La, WANG Yuming
    Contemporary Foreign Languages Studies    2025, 25 (1): 191-201.   DOI: 10.3969/j.issn.1674-8921.2025.01.018
    Abstract245)   HTML1)    PDF(pc) (1425KB)(1375)       Save

    On September 14th, 2022, the Academic Degrees Committee of the State Council and the Ministry of Education issued the Catalogue of Graduate Education Subjects and Specialties (2022) and the Management Measures of the Catalogue of Graduate Education Subjects and Specialties, which officially declared International and Regional Studies to be established as a first-tier discipline under the category of interdisciplinary disciplines. It proves the necessity of integrating this discipline with other related disciplines. The interdisciplinary and multidisciplinary nature of area studies is mainly embodied in its definition and disciplinary distribution of the researchers involved, which can be concluded by sorting out the definitions made by different scholars at home and abroad, and analyzing the distribution of overseas research disciplines in the projects supported by the National Social Science Fund and the distribution of the humanities and social science projects funded by the Ministry of Education. According to the results, it can also be fourd that two disciplines of Foreign Languages and World History make major contributions to International and Regional Studies. Languages serve as indispensable tools, while the discipline of World History uses languages to study the history of various countries and regions in depth. Thus, it will be highly beneficial for the development of International and Regional studies to combine Foreign Languages Discipline with the discipline of World History through multiple degrees conferring, faculty sharing and building academic communities.

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    A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery
    TANG Diyin, WANG Yufu, ZHENG Wenjian, HUANG Xucong, XING Yalan
    Air & Space Defense    2024, 7 (6): 104-111.  
    Abstract1987)      PDF(pc) (1086KB)(1331)       Save
    Due to their high energy density and long life, Lithium-ion batteries are widely applied in fields such as aerospace and smart driving. Accurate estimation of the state of charge (SOC) of a battery is critical. In recent years, SOC estimation methods based on battery equivalent models have been widely used because oftheir advantages of accurate estimation and easy understanding. This paper has elaborated on the classification of battery equivalent models, SOC estimation algorithms, and factors affecting SOC estimation from three aspects. Firstly, the common types of battery models and their characteristics were analyzed; secondly, the commonly used SOC estimation techniques based on battery models were reviewed; finally, the factors affecting the accuracy of SOC estimation and possible solutions were analyzed. The summary of this paper provides references for future research.
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    Deep Learning and Knowledge Infusion:An Inquiry into Path Construction for a Translation-Technology Teaching Model
    DAI Guangrong, SHEN Siyi, HUANG Dongliang
    Contemporary Foreign Languages Studies    2025, 25 (1): 125-138.   DOI: 10.3969/j.issn.1674-8921.2025.01.012
    Abstract303)   HTML4)    PDF(pc) (1420KB)(1306)       Save

    In the era of Language Intelligence, translation pedagogy ushers into a more diverse and complex landscape, knowledge within this system broadens deeper than ever, but students’ learning didn’t go to depth with the development of technology. The shallow learning-based education model is no longer suitable for the current translation pedagogy and its knowledge translation production and spreading. This paper aims to explore innovative pathways to address the predicament in talent cultivation. With Transknowletology as its core, this paper elucidates the concept, content and scope of deep learning and puts forward the model for translation technology education combined with deep learning and knowledge system. Lastly, this paper attempts to construct an efficient and scientific path of enhancing translation technological thinking skills, in a bid to enhance the knowledge translation development and acceptance.

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    A Review of the Subtitle Translation of the Documentary Harmony Between Humanity and Nature Based on the Principles of Truth, Virtue and Beauty
    CUI Fengjuan, XIE Lin
    Contemporary Foreign Languages Studies    2024, 24 (6): 79-88.   DOI: 10.3969/j.issn.1674-8921.2024.06.007
    Abstract547)   HTML2)    PDF(pc) (1699KB)(1251)       Save

    Knowledge-centered translatology posits that translation is a process of globalization of local knowledge, which centers around knowledge construction. Subtitle translation of documentaries exemplifies this interaction and transfer between local and global knowledge. Guided by the principles of truth, virtue and beauty, this paper examines the subtitle translation of the documentary Harmony Between Humanity and Nature and explores the inherent mechanisms of subtitle translation in this work. By analyzing representative cases, we find that some translations of the documentary’s subtitles adhere to the principles of truth, virtue and beauty. Therefore, these translations convey authentic meanings, take into consideration the target audience, and meet the aesthetic standards of the target language. However, others do not follow these principles, which hinders the documentary’s international reach.

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    Numerical Study of Combustion Characteristics of Methane/Hydrogen Hybrid Fuel of Lean Premixed Swirl
    WANG Xinci, LIU Aiguo, WU Xiaoqu, ZHANG Yunjie
    Journal of Shanghai Jiao Tong University    2024, 58 (8): 1179-1187.   DOI: 10.16183/j.cnki.jsjtu.2022.502
    Abstract384)   HTML15)    PDF(pc) (22873KB)(1233)       Save

    The numerical simulation method is used to study the influence of the mixing ratio of methane/hydrogen mixture on the combustion characteristics and pollutant emission characteristics of the combustor. The results show that due to the action of combustion chemical reaction, there exists a certain difference in the structure of cold and hot flow fields. The flow velocity of the hot flow field increases, and the recirculation zone becomes larger. The hydrogen content has a significant impact on the structure and temperature distribution characteristics of the hot flow field, and a central recirculation zone is formed when the hydrogen content is less than 20%, which can maintain stable combustion. When the hydrogen content is greater than 40%, the central recirculation zone disappears, the external recirculation zone is extended, and the spontaneous combustion and flashback occur to varying degrees. As the inlet air temperature increases, the spontaneous ignition phenomenon becomes more obvious, and the inlet air temperature decreases, the flashback phenomenon becomes more obvious. NOx emissions increase with the increase of hydrogen content, CO emissions decrease with the increase of hydrogen content, and CO is concentrated in the combustion zone of the main combustion stage.

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    Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications
    LI Jingjie, CHEN Qiuyan
    Contemporary Foreign Languages Studies    2025, 25 (1): 73-83.   DOI: 10.3969/j.issn.1674-8921.2025.01.008
    Abstract659)   HTML17)    PDF(pc) (1263KB)(1227)       Save

    Artificially intelligent writing has become an irreversible trend. This article, from the perspective of human-machine collaboration, provides an assessment and comparison of artificial intelligence writing systems in three stages: the emergence stage of AI writing, the stage of diversified exploration, and the stage of comprehensive development. It analyzes the characteristics and development trends of human-machine collaboration in intelligent writing systems at different stages. Building upon this analysis, it discusses the progress, issues, and implications of human-machine collaborative intelligent writing systems in academic English writing and teaching in terms of the integration of writing assistance and revision assistance, dialogue-based interaction, comprehensive coverage of the writing process, and Man-Computer symbiosis.

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    Foreign Language Teaching and Professional Development of Foreign Language Teachers in the Era of AI: Challenges, Identity Tensions and Solutions
    XU Yueting, GU Yue
    Contemporary Foreign Languages Studies    2025, 25 (1): 60-72.   DOI: 10.3969/j.issn.1674-8921.2025.01.007
    Abstract900)   HTML8)    PDF(pc) (1301KB)(1216)       Save

    Artificial intelligence (AI) represented by ChatGPT can not only promote learners to learn foreign languages but also improve teachers’ work efficiency and reduce their work burden. However, the educational revolution triggered by ChatGPT brings challenges to foreign language teaching and results in identity tensions to foreign language teachers. By reviewing research on the application of AI in the field of foreign language teaching and language teacher identity, this paper analyses challenges of foreign language teaching and teachers, identity tensions and solutions, and puts forward corresponding suggestions from three aspects, including teachers, schools, and government. This paper not only provides theoretical support and practical guidance for the implementation of AI-assisted teaching in the field of foreign language education but also has enlightenment for other subjects in dealing with teacher identity tensions and exploring the path of deep integration of AI and education.

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    On Fang Mengzhi’s Trichotomy Approach of “One Divided into Three” in his Translation Studies: With a Discussion on the Hot Topics and Trends of Translation Studies in China 2019—2023
    ZENG Ping, FAN Wuqiu
    Contemporary Foreign Languages Studies    2024, 24 (5): 57-68.   DOI: 10.3969/j.issn.1674-8921.2024.05.006
    Abstract321)   HTML7)    PDF(pc) (1217KB)(1197)       Save

    Fang Mengzhi is a renowned and respected scholar in translation studies, especially for his dedicated and outstanding contributions to the development of discipline system, academic system and discourse system of Pragmatic Translation Studies in China. Throughout his translation studies and practices, the trichotomy approach of “One Divided into Three” is prominently adopted. This paper reveals the origin, connotation and value of this enlightening approach from both vertical and horizontal research dimensions, and makes a quantitative analysis of the research hotspots and trends of domestic translation studies in the past five years (2019—2023) to verify the forward-looking guidance and vitality of Prof. Fang’s translation thoughts.

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    Research progress of intramuscular fatty infiltration

    LU Baixue, GAO Weicheng
    Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (4): 481-.  
    Abstract473)      PDF(pc) (970KB)(1182)       Save
    Fat infiltration plays an important role in the pathological development of muscle related diseases, and is closely related to disease recurrence and poor prognosis. In recent years, the research on the potential mechanism of intramuscular fat infiltration has been highly popular at home and abroad, mainly focusing on the basic and clinical research related to skeletal muscle and myocardial fat infiltration. In this paper, the relevant literature on the pathogenesis of intramuscular fat infiltration in skeletal muscle and myocardium in recent years was reviewed, to provide assistance for the basic and clinical research of intramuscular fat infiltration related diseases.
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    A Multimodal Approach to Translating Pragmatic Empathy in Viewpoint Shifting
    GUO Hang, LI Mi
    Contemporary Foreign Languages Studies    2024, 24 (4): 118-129.   DOI: 10.3969/j.issn.1674-8921.2024.04.011
    Abstract321)   HTML5)    PDF(pc) (1634KB)(1179)       Save

    Within the theoretical framework of “communicator-modality-context”, this study probes into the interactional relationship between viewpoint shifting and pragmatic empathy in multimodal translation through analysis of Tsai Chin Chung’s classic comic book, Zen Speaks, and its two English versions. It is suggested that viewpoint shifting is a pragmatic strategy that can help realize the translator’s intention and influence the empathetic meaning of a text. In other words, through viewpoint shifting the translator can successfully convert the source text into the target text, specifically to readjust the perception focus, to reconstruct the concept of discourse, to reshape the spatial and temporal context, and to rebuild the subject-object relationship. Such a “Si Chong” pragmatic strategy is conducive to weakening or consolidating the object of empathy, strengthening or eliminating the specific meaning of empathy so as to impress the reader positively. The findings of this research are expected to shed light on ‘telling China’s story to the world’ in nowadays ubiquitous multimodal context.

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    Reconstruction of Ship Propeller Wake Field Based on Physics-Informed Neural Networks
    HOU Xianrui, ZHOU Xingyu, HUANG Xiaocheng
    Journal of Shanghai Jiao Tong University    2024, 58 (11): 1654-1664.   DOI: 10.16183/j.cnki.jsjtu.2023.101
    Abstract795)   HTML17)    PDF(pc) (18611KB)(1171)       Save

    Physics-informed neural networks (PINN) are applied to the reconstruction of the ship propeller wake field. First, the principle and basic framework of PINN were introduced. Then, the Burgers equation was selected to verify the feasibility of PINN in solving partial differential equations. After that, the propeller of KVLCC2 in open water is simulated using computational fluid dynamics (CFD) software STAR CCM+, and the flow field information of the KVLCC2 propeller is obtained. Based on the simulated flow field information data, the training sample set was constructed to train PINN. The trained PINN was used to infer the approximate solution of the governing equation at any time and space. Finally, the velocity and pressure distribution obtained by PINN were compared with the velocity and pressure distribution simulated by STAR CCM+. The results validate the reliability of PINN in propeller wake field reconstruction, which can be concluded that PINN can be applied to the reconstruction of the ship propeller wake field.

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    A Fault Diagnosis Method for Wind Turbines Based on Zero-Shot Learning
    PAN Meiqi, HE Xing
    Journal of Shanghai Jiao Tong University    2025, 59 (5): 561-568.   DOI: 10.16183/j.cnki.jsjtu.2023.375
    Abstract1672)   HTML10)    PDF(pc) (1123KB)(1169)       Save

    In engineering practice, wind turbine fault diagnosis encounters situations where the fault category in the training data is different from the actual one. To diagnose unknown wind turbine faults, it is necessary to transfer the fault feature information learned during training to the unknown fault category. Unlike traditional methods that directly establish mapping between fault samples and fault categories, a zero-shot learning (ZSL) method for wind turbine fault diagnosis based on fault attributes is proposed to enable fault feature migration. A fault attribute matrix is established by describing the attributes of each fault, which is embedded into the fault sample space and fault category space. Then, a fault attribute learner is developed based on convolutional neural network (CNN), and a fault classifier is established based on Euclidean distance, forming the diagnosis process where fault attributes are predicted from fault samples and then classified. Finally, the effectiveness and superiority of the proposed fault diagnosis method are validated by comparing it with other zero-shot learning methods.

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